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Analytics & BI

Analytics & Business Intelligence

Embedded analytics and AI-powered insights across every business cloud.

Analytics & Business Intelligence

Data without insight is just noise. HotCRM includes a powerful, embedded analytics engine that understands your metadata and permissions structure natively — no separate BI tool required. Every cloud comes with pre-built dashboards, and natural language queries put the answers to any business question at your fingertips.

Operational Reports

Real-Time Reporting

Reports run on live data — no nightly syncs, no stale dashboards.

  • Drag-and-Drop Builder: Business users can create reports without IT help — group, filter, summarize, and sort with clicks
  • Cross-Object Reporting: Join data across clouds (e.g., "Show me Accounts with open Opportunities AND overdue Cases")
  • Report Types: Tabular, Summary, Matrix, and Joined reports for every analytical need
  • Scheduling: Automate report delivery via email on daily, weekly, or monthly schedules
  • Export: One-click export to Excel, CSV, or PDF for offline analysis and presentations

Interactive Dashboards

Visual dashboards that tell the story behind your numbers.

  • Visualization Types: Charts, Gauges, Funnels, Heatmaps, KPI Cards, and Trend Lines
  • Dynamic Filters: Slice any dashboard by Region, Time Period, Team, Product, or custom dimensions
  • Drill-Down: Click on any chart segment to see the underlying records that make up the number
  • Role-Based Dashboards: Executives, managers, and individual contributors each see the metrics most relevant to their role
  • Mobile Optimized: Dashboards render responsively on tablets and phones for on-the-go access

Sales Analytics

Track every aspect of your sales engine.

MetricDescription
Pipeline ValueTotal value of all open opportunities by stage
Win RatePercentage of opportunities that close as "Won"
Average Deal SizeMean opportunity amount across the pipeline
Sales Cycle LengthAverage days from opportunity creation to close
Lead Conversion RatePercentage of leads successfully converted to opportunities
Quota AttainmentIndividual and team progress against revenue targets
Forecast AccuracyPredicted vs. actual closed revenue for each period
Activity MetricsCalls, emails, and meetings per rep per week

Marketing Analytics

Measure the effectiveness of every marketing dollar.

MetricDescription
Campaign ROIRevenue generated divided by campaign cost
Cost Per Lead (CPL)Total marketing spend divided by leads captured
Cost Per Acquisition (CPA)Total cost to acquire one paying customer
Email Open RatePercentage of delivered emails that are opened
Click-Through Rate (CTR)Percentage of opens that result in a link click
MQL to SQL ConversionRate at which marketing-qualified leads become sales-qualified
Channel PerformanceSide-by-side comparison of ROI by marketing channel
Funnel VelocitySpeed at which leads progress through the marketing funnel

Service Analytics

Monitor support quality and customer satisfaction.

MetricDescription
Average Response TimeMean time to first agent response
Average Resolution TimeMean time from case open to close
SLA Compliance RatePercentage of cases meeting SLA targets
First Contact Resolution (FCR)Cases resolved on the first interaction
Customer Satisfaction (CSAT)Post-case satisfaction survey scores
Net Promoter Score (NPS)Customer loyalty and advocacy metric
Case BacklogOpen cases by age, priority, and assigned agent
Agent UtilizationCases per agent with capacity and workload tracking

Revenue Analytics

Track the financial health of your business.

MetricDescription
Total Contract Value (TCV)Sum of all active contract amounts
Annual Recurring Revenue (ARR)Subscription revenue normalized to an annual figure
Monthly Recurring Revenue (MRR)Subscription revenue on a monthly basis
Quote-to-Close RatioPercentage of quotes that convert to signed contracts
Days Sales Outstanding (DSO)Average number of days to collect payment
Renewal RatePercentage of contracts that renew at expiration
Average Contract LengthMean duration of active contracts in months
Invoice AgingOutstanding invoices grouped by 30/60/90+ day buckets

HR Analytics

Measure workforce health and talent effectiveness.

MetricDescription
Time-to-HireAverage days from requisition opening to offer acceptance
Cost-per-HireTotal recruiting spend divided by number of hires
Employee TurnoverAnnualized rate of voluntary and involuntary departures
Offer Acceptance RatePercentage of extended offers that are accepted
Average Performance RatingMean review score across the organization
Training Completion RatePercentage of assigned training courses completed
Leave UtilizationPercentage of available PTO days actually used
Headcount vs. BudgetActual FTE compared to budgeted positions

AI-Powered Insights

Go beyond static reports with intelligent, proactive analysis.

  • Trend Detection: "Pipeline is trending down 15% compared to last quarter — here are the contributing factors"
  • Anomaly Alerts: "Unusual spike in Case Volume detected in the Europe region this week"
  • Predictive Forecasting: AI-adjusted revenue forecasts that account for deal velocity, engagement signals, and historical patterns
  • Natural Language Queries: Ask questions in plain English — "Show me all deals in California over $50K that haven't been updated in 10 days"
  • Explainable AI: Click "Why?" on any metric to see the leading factors behind the number (e.g., "Win Rate dropped because Competitor X increased their discounting")
  • Automated Recommendations: "Leads from Webinar campaigns convert 3x better than Email campaigns — consider reallocating budget"

Data Integration

For organizations that need to combine CRM data with external sources.

  • Data Warehouse Sync: Native connectors to push data to Snowflake, BigQuery, or Redshift for enterprise-scale analytics
  • External Objects: View data from ERP and legacy systems inside HotCRM without copying it (data virtualization)
  • API Access: RESTful and GraphQL APIs for building custom analytics dashboards and data pipelines
  • Scheduled Exports: Automated data extracts on a schedule for regulatory reporting or downstream systems

Best Practices

  1. Start with Questions: Define the business questions you need answered before building dashboards
  2. Less is More: A dashboard with 5 well-chosen metrics beats one with 50 that nobody reads
  3. Automate Distribution: Schedule key reports to arrive in stakeholders' inboxes every Monday morning
  4. Act on Insights: Analytics only matter if they drive action — every dashboard should lead to a decision
  5. Trust AI Recommendations: The system sees patterns across thousands of records that humans miss — let it guide your strategy

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